Haiqin Yang

According to our database, Haiqin Yang authored at least 79 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Natural Language Interfaces for Tabular Data Querying and Visualization: A Survey.

Weixu Zhang, Yifei Wang, Yuanfeng Song, Victor Junqiu Wei, Yuxing Tian, Yiyan Qi, Jonathan H. Chan, Raymond Chi-Wing Wong, Haiqin Yang

IEEE Trans. Knowl. Data Eng., November, 2024

Towards Effective Collaborative Learning in Long-Tailed Recognition.

Zhengzhuo Xu, Zenghao Chai, Chengyin Xu, Chun Yuan, Haiqin Yang

IEEE Trans. Multim., 2024

EasyECR: A Library for Easy Implementation and Evaluation of Event Coreference Resolution Models.

Yuncong Li, Tianhua Xu, Sheng-hua Zhong, Haiqin Yang

CoRR, 2024

Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces.

Yihuai Hong, Lei Yu, Shauli Ravfogel, Haiqin Yang, Mor Geva

CoRR, 2024

Unleashing Trigger-Free Event Detection: Revealing Event Correlations Via a Contrastive Derangement Framework.

Hongzhan Lin, Haiqin Yang, Ziyang Luo, Jing Ma

Proceedings of the IEEE International Conference on Acoustics, 2024

Dissecting Fine-Tuning Unlearning in Large Language Models.

Yihuai Hong, Yuelin Zou, Lijie Hu, Ziqian Zeng, Di Wang, Haiqin Yang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

A Two-Agent Game for Zero-shot Relation Triplet Extraction.

Ting Xu, Haiqin Yang, Fei Zhao, Zhen Wu, Xinyu Dai

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

An Empirical Study of Benchmarking Chinese Aspect Sentiment Quad Prediction.

Junxian Zhou, Haiqin Yang, Junpeng Ye, Yuxuan He, Hao Mou

CoRR, 2023

Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks.

Peng Xu, Lin Zhang, Xuanzhou Liu, Jiaqi Sun, Yue Zhao, Haiqin Yang, Bei Yu

Proceedings of the International Conference on Machine Learning, 2023

D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching.

Xuanzhou Liu, Lin Zhang, Jiaqi Sun, Yujiu Yang, Haiqin Yang

Proceedings of the International Conference on Machine Learning, 2023

A Diffusion Model for Event Skeleton Generation.

Fangqi Zhu, Lin Zhang, Jun Gao, Bing Qin, Ruifeng Xu, Haiqin Yang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

A Unified One-Step Solution for Aspect Sentiment Quad Prediction.

Junxian Zhou, Haiqin Yang, Yuxuan He, Hao Mou, Junbo Yang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Trigger-free Event Detection via Derangement Reading Comprehension.

Jiachen Zhao, Haiqin Yang

CoRR, 2022

Vision-and-Language Pretrained Models: A Survey.

Siqu Long, Feiqi Cao, Soyeon Caren Han, Haiqin Yang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Making Online Sketching Hashing Even Faster.

Xixian Chen, Haiqin Yang, Shenglin Zhao, Irwin King, Michael R. Lyu

IEEE Trans. Knowl. Data Eng., 2021

Sequential Attention Module for Natural Language Processing.

Mengyuan Zhou, Jian Ma, Haiqin Yang, Lian-Xin Jiang, Yang Mo

CoRR, 2021

Automatic Intent-Slot Induction for Dialogue Systems.

Zengfeng Zeng, Dan Ma, Haiqin Yang, Zhen Gou, Jianping Shen

Proceedings of the WWW '21: The Web Conference 2021, 2021

PALI at SemEval-2021 Task 2: Fine-Tune XLM-RoBERTa for Word in Context Disambiguation.

Shu-Yi Xie, Jian Ma, Haiqin Yang, Lian-Xin Jiang, Yang Mo, Jianping Shen

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

Sattiy at SemEval-2021 Task 9: An Ensemble Solution for Statement Verification and Evidence Finding with Tables.

Xiaoyi Ruan, Meizhi Jin, Jian Ma, Haiqin Yang, Lian-Xin Jiang, Yang Mo, Mengyuan Zhou

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

MagicPai at SemEval-2021 Task 7: Method for Detecting and Rating Humor Based on Multi-Task Adversarial Training.

Jian Ma, Shu-Yi Xie, Haiqin Yang, Lian-Xin Jiang, Mengyuan Zhou, Xiaoyi Ruan, Yang Mo

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

Emotion Dynamics Modeling via BERT.

Haiqin Yang, Jianping Shen

Proceedings of the International Joint Conference on Neural Networks, 2021

RefBERT: Compressing BERT by Referencing to Pre-computed Representations.

Xinyi Wang, Haiqin Yang, Liang Zhao, Yang Mo, Jianping Shen

Proceedings of the International Joint Conference on Neural Networks, 2021

Progressive Open-Domain Response Generation with Multiple Controllable Attributes.

Haiqin Yang, Xiaoyuan Yao, Yiqun Duan, Jianping Shen, Jie Zhong, Kun Zhang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graph.

Yiying Yang, Xi Yin, Haiqin Yang, Xingjian Fei, Hao Peng, Kaijie Zhou, Kunfeng Lai, Jianping Shen

Proceedings of the Database Systems for Advanced Applications, 2021

2020

Effective Data-Aware Covariance Estimator From Compressed Data.

Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King

IEEE Trans. Neural Networks Learn. Syst., 2020

Block-term tensor neural networks.

Jinmian Ye, Guangxi Li, Di Chen, Haiqin Yang, Shandian Zhe, Zenglin Xu

Neural Networks, 2020

Hierarchical Context Enhanced Multi-Domain Dialogue System for Multi-domain Task Completion.

Jingyuan Yang, Guang Liu, Yuzhao Mao, Zhiwei Zhao, Weiguo Gao, Xuan Li, Haiqin Yang, Jianping Shen

CoRR, 2020

UNIXLONG at SemEval-2020 Task 6: A Joint Model for Definition Extraction.

Shu-Yi Xie, Jian Ma, Haiqin Yang, Lian-Xin Jiang, Yang Mo, Jian-Ping Shen

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

FPAI at SemEval-2020 Task 10: A Query Enhanced Model with RoBERTa for Emphasis Selection.

Chenyang Guo, Xiaolong Hou, Junsong Ren, Lian-Xin Jiang, Yang Mo, Haiqin Yang, Jian-Ping Shen

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

2019

BERT Meets Chinese Word Segmentation.

Haiqin Yang

CoRR, 2019

HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition.

Wenxiang Jiao, Haiqin Yang, Irwin King, Michael R. Lyu

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Online Nonlinear AUC Maximization for Imbalanced Data Sets.

Junjie Hu, Haiqin Yang, Michael R. Lyu, Irwin King, Anthony Man-Cho So

IEEE Trans. Neural Networks Learn. Syst., 2018

Factorization machines and deep views-based co-training for improving answer quality prediction in online health expert question-answering services.

Zhan Zhang, Ze Hu, Haiqin Yang, Rong Zhu, Decheng Zuo

J. Biomed. Informatics, 2018

Predicting the quality of online health expert question-answering services with temporal features in a deep learning framework.

Ze Hu, Zhan Zhang, Haiqin Yang, Qing Chen, Rong Zhu, Decheng Zuo

Neurocomputing, 2018

Implicit Heterogeneous Features Embedding in Deep Knowledge Tracing.

Haiqin Yang, Lap Pong Cheung

Cogn. Comput., 2018

A Broad Neural Network Structure for Class Incremental Learning.

Wenzhang Liu, Haiqin Yang, Yuewen Sun, Changyin Sun

Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

TreeNet: Learning Sentence Representations with Unconstrained Tree Structure.

Zhou Cheng, Chun Yuan, Jiancheng Li, Haiqin Yang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Neural Machine Translation for Financial Listing Documents.

Linkai Luo, Haiqin Yang, Sai Cheong Siu, Francis Yuk-Lun Chin

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

A deep learning approach for predicting the quality of online health expert question-answering services.

Ze Hu, Zhan Zhang, Haiqin Yang, Qing Chen, Decheng Zuo

J. Biomed. Informatics, 2017

BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition.

Guangxi Li, Jinmian Ye, Haiqin Yang, Di Chen, Shuicheng Yan, Zenglin Xu

CoRR, 2017

Heterogeneous Features Integration in Deep Knowledge Tracing.

Lap Pong Cheung, Haiqin Yang

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Efficient Non-Oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk Guarantee.

Yi Xu, Haiqin Yang, Lijun Zhang, Tianbao Yang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

A Unified Point-of-Interest Recommendation Framework in Location-Based Social Networks.

Chen Cheng, Haiqin Yang, Irwin King, Michael R. Lyu

ACM Trans. Intell. Syst. Technol., 2016

Online non-negative dictionary learning via moment information for sparse Poisson coding.

Xiaotian Yu, Haiqin Yang, Irwin King, Michael R. Lyu

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Distributed Information-Theoretic Metric Learning in Apache Spark.

Yuxin Su, Haiqin Yang, Irwin King, Michael R. Lyu

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation.

Shenglin Zhao, Tong Zhao, Haiqin Yang, Michael R. Lyu, Irwin King

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Boosting Response Aware Model-Based Collaborative Filtering.

Haiqin Yang, Guang Ling, Yuxin Su, Michael R. Lyu, Irwin King

IEEE Trans. Knowl. Data Eng., 2015

Budget constrained non-monotonic feature selection.

Haiqin Yang, Zenglin Xu, Michael R. Lyu, Irwin King

Neural Networks, 2015

Maximum margin semi-supervised learning with irrelevant data.

Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu

Neural Networks, 2015

WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and Applications.

Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu

Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Training-Efficient Feature Map for Shift-Invariant Kernels.

Xixian Chen, Haiqin Yang, Irwin King, Michael R. Lyu

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Kernelized Online Imbalanced Learning with Fixed Budgets.

Junjie Hu, Haiqin Yang, Irwin King, Michael R. Lyu, Anthony Man-Cho So

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Non-monotonic Feature Selection for Regression.

Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu

Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013

Efficient online learning for multitask feature selection.

Haiqin Yang, Michael R. Lyu, Irwin King

ACM Trans. Knowl. Discov. Data, 2013

Where You Like to Go Next: Successive Point-of-Interest Recommendation.

Chen Cheng, Haiqin Yang, Michael R. Lyu, Irwin King

Proceedings of the IJCAI 2013, 2013

Sparse Poisson coding for high dimensional document clustering.

Chenxia Wu, Haiqin Yang, Jianke Zhu, Jiemi Zhang, Irwin King, Michael R. Lyu

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012

Response Aware Model-Based Collaborative Filtering.

Guang Ling, Haiqin Yang, Michael R. Lyu, Irwin King

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Online learning for collaborative filtering.

Guang Ling, Haiqin Yang, Irwin King, Michael R. Lyu

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Fused Matrix Factorization with Geographical and Social Influence in Location-Based Social Networks.

Chen Cheng, Haiqin Yang, Irwin King, Michael R. Lyu

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Efficient Sparse Generalized Multiple Kernel Learning.

Haiqin Yang, Zenglin Xu, Jieping Ye, Irwin King, Michael R. Lyu

IEEE Trans. Neural Networks, 2011

Can irrelevant data help semi-supervised learning, why and how?

Haiqin Yang, Shenghuo Zhu, Irwin King, Michael R. Lyu

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

Multi-task Learning for one-class classification.

Haiqin Yang, Irwin King, Michael R. Lyu

Proceedings of the International Joint Conference on Neural Networks, 2010

Online Learning for Group Lasso.

Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Simple and Efficient Multiple Kernel Learning by Group Lasso.

Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, Michael R. Lyu

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Online learning for multi-task feature selection.

Haiqin Yang, Irwin King, Michael R. Lyu

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009

Localized support vector regression for time series prediction.

Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu

Neurocomputing, 2009

Ensemble Learning for Imbalanced E-commerce Transaction Anomaly Classification.

Haiqin Yang, Irwin King

Proceedings of the Neural Information Processing, 16th International Conference, 2009

2008

Maxi-Min Margin Machine: Learning Large Margin Classifiers Locally and Globally.

Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu

IEEE Trans. Neural Networks, 2008

Efficient Minimax Clustering Probability Machine by Generalized Probability Product Kernel.

Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu

Proceedings of the International Joint Conference on Neural Networks, 2008

Sprinkled Latent Semantic Indexing for Text Classification with Background Knowledge.

Haiqin Yang, Irwin King

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

2006

Imbalanced learning with a biased minimax probability machine.

Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu

IEEE Trans. Syst. Man Cybern. Part B, 2006

Maximizing sensitivity in medical diagnosis using biased minimax probability Machine.

Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu

IEEE Trans. Biomed. Eng., 2006

Local Support Vector Regression for Financial Time Series Prediction.

Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu

Proceedings of the International Joint Conference on Neural Networks, 2006

2004

The Minimum Error Minimax Probability Machine.

Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan

J. Mach. Learn. Res., 2004

Biased Minimax Probability Machine for Medical Diagnosis.

Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2004

Outliers Treatment in Support Vector Regression for Financial Time Series Prediction.

Haiqin Yang, Kaizhu Huang, Laiwan Chan, Irwin King, Michael R. Lyu

Proceedings of the Neural Information Processing, 11th International Conference, 2004

Learning large margin classifiers locally and globally.

Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu

Proceedings of the Machine Learning, 2004

Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine.

Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2002

Support Vector Machine Regression for Volatile Stock Market Prediction.

Haiqin Yang, Laiwan Chan, Irwin King

Proceedings of the Intelligent Data Engineering and Automated Learning, 2002